Author of the publication

F-BIDS: Federated-Blending based Intrusion Detection System.

, and . Pervasive Mob. Comput., (February 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

F-BIDS: Federated-Blending based Intrusion Detection System., and . Pervasive Mob. Comput., (February 2023)Ensemble-Based Deep Learning Model for Network Traffic Classification., , and . IEEE Trans. Netw. Serv. Manag., 19 (4): 4124-4135 (December 2022)HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks., , and . MobiWac, page 53-60. ACM, (2023)Machine Learning-Enabled Network Traffic Analysis. (Analyse du trafic réseau basée sur l'apprentissage automatique).. University of Nantes, France, (2022)Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things., , , and . IEEE Trans. Ind. Informatics, 19 (1): 286-295 (2023)Incentive techniques for the Internet of Things: A survey., , , , , , , and . J. Netw. Comput. Appl., (2022)Decision tree-based blending method using deep-learning for network management., , and . NOMS, page 1-7. IEEE, (2022)Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions., , , , , , , and . CoRR, (2021)Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities., , , , and . Future Internet, 15 (12): 377 (2023)A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification., , and . ICNP, page 1-6. IEEE, (2020)